What is Python Lambda Function? Python Tutorial | Edureka
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YouTube Link: https://youtu.be/RQRCWDK9UkA ** Python Certification Training: https://www.edureka.co/python ** This Edureka PPT on 'Python Lambda' is to educate you about the Lambda functions of Python and help you understand how to use them in various scenarios. Below are the topics covered in this PPT: What are Python Lambda functions? Why are they used? How to write anonymous functions? Lambda functions within user-defined functions Using Anonymous functions within - filter() - map() - reduce() Solving algebric expressions using Lambda Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Castbox: https://castbox.fm/networks/505?country=in
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![filter()
Used to filter the given iterables(lists, sets, etc) with the help
of another function passed as an argument to test all the
elements to be true or false.
my_list = [2,3,4,5,6,7,8]
new_list = list(filter(lambda a: (a/3 == 2), my_list))
print(new_list)
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![map():
Applies a given function to all the iterables and returns a
new list.
my_list = [2,3,4,5,6,7,8]
new_list = list(map(lambda a: (a/3 != 2), li))
print(new_list)
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![reduce():
Applies some other function to a list of elements that are
passed as a parameter to it and finally returns a single
value.
from functools import reduce
reduce(lambda a,b: a+b, [23,21,45,98])
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HCL Domino iQ Server – Vom Ideenportal zur implementierten Funktion. Entdecken Sie, was es ist, was es nicht ist, und erkunden Sie die Chancen und Herausforderungen, die es bietet.
Wichtige Erkenntnisse
- Was sind Large Language Models (LLMs) und wie stehen sie im Zusammenhang mit Domino iQ
- Wesentliche Voraussetzungen für die Bereitstellung des Domino iQ Servers
- Schritt-für-Schritt-Anleitung zur Einrichtung Ihres Domino iQ Servers
- Teilen und diskutieren Sie Gedanken und Ideen, um das Potenzial von Domino iQ zu maximieren
Developing Schemas with FME and Excel - Peak of Data & AI 2025
Developing Schemas with FME and Excel - Peak of Data & AI 2025Safe Software When working with other team members who may not know the Esri GIS platform or may not be database professionals; discussing schema development or changes can be difficult. I have been using Excel to help illustrate and discuss schema design/changes during meetings and it has proven a useful tool to help illustrate how a schema will be built. With just a few extra columns, that Excel file can be sent to FME to create new feature classes/tables. This presentation will go thru the steps needed to accomplish this task and provide some lessons learned and tips/tricks that I use to speed the process.
Secure Access with Azure Active Directory
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TimeSeries Machine Learning - PyData London 2025
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How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdf
How Advanced Environmental Detection Is Revolutionizing Oil & Gas Safety.pdfRejig Digital Unlock the future of oil & gas safety with advanced environmental detection technologies that transform hazard monitoring and risk management. This presentation explores cutting-edge innovations that enhance workplace safety, protect critical assets, and ensure regulatory compliance in high-risk environments.
🔍 What You’ll Learn:
✅ How advanced sensors detect environmental threats in real-time for proactive hazard prevention
🔧 Integration of IoT and AI to enable rapid response and minimize incident impact
📡 Enhancing workforce protection through continuous monitoring and data-driven safety protocols
💡 Case studies highlighting successful deployment of environmental detection systems in oil & gas operations
Ideal for safety managers, operations leaders, and technology innovators in the oil & gas industry, this presentation offers practical insights and strategies to revolutionize safety standards and boost operational resilience.
👉 Learn more: https://www.rejigdigital.com/blog/continuous-monitoring-prevent-blowouts-well-control-issues/
Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...
Integration of Utility Data into 3D BIM Models Using a 3D Solids Modeling Wor...Safe Software Jacobs has developed a 3D utility solids modelling workflow to improve the integration of utility data into 3D Building Information Modeling (BIM) environments. This workflow, a collaborative effort between the New Zealand Geospatial Team and the Australian Data Capture Team, employs FME to convert 2D utility data into detailed 3D representations, supporting enhanced spatial analysis and clash detection.
To enable the automation of this process, Jacobs has also developed a survey data standard that standardizes the capture of existing utilities. This standard ensures consistency in data collection, forming the foundation for the subsequent automated validation and modelling steps. The workflow begins with the acquisition of utility survey data, including attributes such as location, depth, diameter, and material of utility assets like pipes and manholes. This data is validated through a custom-built tool that ensures completeness and logical consistency, including checks for proper connectivity between network components. Following validation, the data is processed using an automated modelling tool to generate 3D solids from 2D geometric representations. These solids are then integrated into BIM models to facilitate compatibility with 3D workflows and enable detailed spatial analyses.
The workflow contributes to improved spatial understanding by visualizing the relationships between utilities and other infrastructure elements. The automation of validation and modeling processes ensures consistent and accurate outputs, minimizing errors and increasing workflow efficiency.
This methodology highlights the application of FME in addressing challenges associated with geospatial data transformation and demonstrates its utility in enhancing data integration within BIM frameworks. By enabling accurate 3D representation of utility networks, the workflow supports improved design collaboration and decision-making in complex infrastructure projects
Floods in Valencia: Two FME-Powered Stories of Data Resilience
Floods in Valencia: Two FME-Powered Stories of Data ResilienceSafe Software In October 2024, the Spanish region of Valencia faced severe flooding that underscored the critical need for accessible and actionable data. This presentation will explore two innovative use cases where FME facilitated data integration and availability during the crisis. The first case demonstrates how FME was used to process and convert satellite imagery and other geospatial data into formats tailored for rapid analysis by emergency teams. The second case delves into making human mobility data—collected from mobile phone signals—accessible as source-destination matrices, offering key insights into population movements during and after the flooding. These stories highlight how FME's powerful capabilities can bridge the gap between raw data and decision-making, fostering resilience and preparedness in the face of natural disasters. Attendees will gain practical insights into how FME can support crisis management and urban planning in a changing climate.
TrustArc Webinar - 2025 Global Privacy Survey
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This webinar features an expert panel discussion and data-driven insights to help you navigate the shifting privacy landscape. Whether you are a privacy officer, legal professional, compliance specialist, or security expert, this session will provide actionable takeaways to strengthen your privacy strategy.
This webinar will review:
- The emerging trends in data protection, compliance, and risk
- The top challenges for privacy leaders, practitioners, and organizations in 2025
- The impact of evolving regulations and the crossroads with new technology, like AI
Predictions for the future of privacy in 2025 and beyond
Enabling BIM / GIS integrations with Other Systems with FME
Enabling BIM / GIS integrations with Other Systems with FMESafe Software Jacobs has successfully utilized FME to tackle the complexities of integrating diverse data sources in a confidential $1 billion campus improvement project. The project aimed to create a comprehensive digital twin by merging Building Information Modeling (BIM) data, Construction Operations Building Information Exchange (COBie) data, and various other data sources into a unified Geographic Information System (GIS) platform. The challenge lay in the disparate nature of these data sources, which were siloed and incompatible with each other, hindering efficient data management and decision-making processes.
To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.
Cisco ISE Performance, Scalability and Best Practices.pdf
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Kubernetes Security Act Now Before It’s Too Late
Kubernetes Security Act Now Before It’s Too LateMichael Furman In today's cloud-native landscape, Kubernetes has become the de facto standard for orchestrating containerized applications, but its inherent complexity introduces unique security challenges. Are you one YAML away from disaster?
This presentation, "Kubernetes Security: Act Now Before It’s Too Late," is your essential guide to understanding and mitigating the critical security risks within your Kubernetes environments. This presentation dives deep into the OWASP Kubernetes Top Ten, providing actionable insights to harden your clusters.
We will cover:
The fundamental architecture of Kubernetes and why its security is paramount.
In-depth strategies for protecting your Kubernetes Control Plane, including kube-apiserver and etcd.
Crucial best practices for securing your workloads and nodes, covering topics like privileged containers, root filesystem security, and the essential role of Pod Security Admission.
Don't wait for a breach. Learn how to identify, prevent, and respond to Kubernetes security threats effectively.
It's time to act now before it's too late!
Artificial Intelligence in the Nonprofit Boardroom.pdf
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What is Python Lambda Function? Python Tutorial | Edureka
- 2. ❖ What are Python Lambda functions? ❖ Why are they used? ❖ How to write Anonymous functions? ❖ Lambda functions within user defined functions • filter() • map() ❖ Using Anonymous functions within www.edureka.co/python • reduce() ❖Solving Algebraic expressions using Lambda
- 4. www.edureka.co PythonLambda Functionsare: • Anonymousornameless functions • ‘lambda’isnotaname,butitsakeyword www.edureka.co/python
- 6. Also known as throw- away functions as they are needed just once They are also passed as inputs or returned as outputs of other higher-order functions The body of Lambda functions is written in a single line One-time use I/O of other functions Reduce code size Why are they used? www.edureka.co/python
- 8. A Lambda function is created using the lambda operator lambda arguments: expression lambda : “Specify the purpose” lambda a1…n: “Specify use of a1…n“ lambda a1: “Specify use of a1“ SYNTAX: www.edureka.co/python
- 10. Lambda functions are best used within other higher- order functions Anonymous functions within user defined functions def new_func(x): return(lambda y: x+y) t=new_func(3) u=new_func(2) print(t(3)) print(u(3)) www.edureka.co/python
- 12. filter() Used to filter the given iterables(lists, sets, etc) with the help of another function passed as an argument to test all the elements to be true or false. my_list = [2,3,4,5,6,7,8] new_list = list(filter(lambda a: (a/3 == 2), my_list)) print(new_list) www.edureka.co/python
- 13. map(): Applies a given function to all the iterables and returns a new list. my_list = [2,3,4,5,6,7,8] new_list = list(map(lambda a: (a/3 != 2), li)) print(new_list) www.edureka.co/python
- 14. reduce(): Applies some other function to a list of elements that are passed as a parameter to it and finally returns a single value. from functools import reduce reduce(lambda a,b: a+b, [23,21,45,98]) www.edureka.co/python
- 16. Copyright © 2017, edureka and/or its affiliates. All rights reserved. www.edureka.co